Sample Data Collection for Pathologists

Identifying the challenge:
a data system
In a laboratory, pathologists needed a system to efficiently store data from tissue collections. This included measurements, photos, and special observations, with a requirement for compatibility across various research labs. The challenge? A large, multinational team was designing a complex system for the small team of five users in this lab.
Before a good design comes a deep understanding
As the (only one) UX/UI designer, I faced the task of managing this complex project. It wasn't just about design; I had to dive into mouse biology to understand tissue collection processes and their relevance in new drug development.
The Problem
In short, my task was to dive into a new scientific world, really get what the team needed, and design something both easy to use and smart. It was a chance to stretch my skills as a UX/UI designer in a whole new direction.
The Result
This system is now used by end users who are requesting minor changes, like adding extra columns, but overall, their experience is positive.
Tailoring Design to Medical Realities
I started by delving into the project, discovering that business requirements were sketched out in Excel wireframes. The team regularly discussed requirements with users, but something was missing.
An example flow with notification suggestions (I've mapped all flows in the app to define notifications)
User flow with mapped notifications
Refining the Process
I transformed these discussions into hands-on user testing sessions. Users engaged with new functionalities in a UAT environment, using scenarios I prepared. This pivot was crucial - we caught usability errors early.
A Notable Issue and Solution: For instance, users struggled to find an action button when scrolling through data. My initial suggestion, which was to limit scrolling within the table to keep buttons visible, was finally implemented after this issue surfaced during user testing.
Visualisation of printing labels during Planning step (including scrolling table content)
A gif showing printing labels screen
Designing for Flexibility
When shaping the design of our system, flexibility was our guiding principle. We envisioned a common scenario in the lab:
Researchers needing to pack and track tissue samples from multiple animals, each requiring different data and attention.
We integrated features that allowed seamless sorting and labeling of tissues from various animals. Imagine a researcher working with samples from several animals; our interface made it straightforward to enter and manage each sample’s data, keeping everything well-organized and easily accessible.
Adaptability was another crucial aspect. In a lab, things don't always go as planned. A researcher might discover an unhealthy tissue in a batch expected to be healthy, or there might be a need to include an unplanned sample. Our design allowed for these kinds of on-the-fly adjustments, ensuring data accuracy and reliability.
Visualisation of Processing dashboard with table gathering requested data:
A gif showing process dashboard
System Workflow
The system had to handle a variety of lab scenarios, from receiving different animal samples to accommodating unexpected changes. Our solution allowed users to plan, label, and adapt to real-time changes in sample collection.
Use case: In 80% of cases, users put all tissues from one animal into one jar. However, there are instances where they require more flexibility in packing samples.

Lessons Learned:

Aligning Business and User Needs

Learned the importance of merging business requirements with user-focused design.

Handling Data-Rich Interfaces

Faced the challenges and enjoyed the rewards of working with complex, data-intensive interfaces.

Embracing Complexity

Discovered that complex projects can be deeply satisfying, particularly when they result in effective and user-friendly solutions.
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